Computation of Minimal Polynomials and Multivector Inverses in Non-Degenerate Clifford Algebras
Clifford algebras are an active area of mathematical research having numerous applications in mathematical physics and computer graphics, among many others. This paper demonstrates algorithms for the computation of characteristic polynomials, inverses, and minimal polynomials of general multivectors residing in a non-degenerate Clifford algebra of an arbitrary dimension. The characteristic polynomial and inverse computation are achieved by a translation of the classical Faddeev–LeVerrier–Souriau (FVS) algorithm in the language of Clifford algebra. The demonstrated algorithms are implemented in the Clifford package of the open source computer algebra system Maxima. Symbolic and numerical examples residing in different Clifford algebras are presented.
Authors
- Dimiter Prodanov (ORCID: https://orcid.org/0000-0001-8694-0535)
Institutions
- Bulgarian Academy of Sciences (BG)
- Neuroelectronics Research Flanders (BE)
- Institute of Information and Communication Technologies (BG)
Publication Details
- Journal
- Mathematics
- Published
- 2025-03-27
- DOI
- https://doi.org/10.3390/math13071106
- Citations
- 1
- Primary Topic
- Algebraic and Geometric Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.73
Funders
- HORIZON EUROPE Framework Programme